AI-assisted patient education: Challenges and solutions in pediatric kidney transplantation

被引:0
|
作者
Ihsan, M. Z.
Apriatama, Dony [1 ,2 ]
Pithriani [3 ]
Amalia, Riza
机构
[1] Univ Palangka Raya, Guidance & Counseling, Palangka Raya, Indonesia
[2] Univ Negeri Malang, Guidance & Counseling, Malang, Indonesia
[3] Inst Agama Islam Negeri Palangkaraya, Islamic Educ Management, Palangka Raya, Indonesia
关键词
Artificial Intelligence (AI); Patient Education; Pediatric Kidney Transplantation; Healthcare Communication; ChatGPT;
D O I
10.1016/j.pec.2024.108575
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
We are writing in response to the recent publication on the use of artificial intelligence, particularly ChatGPT, in generating educational materials for pediatric kidney transplant patients (Patient Education and Counseling, Volume 129, 2024). The study offers valuable insights into AI's potential to enhance healthcare communication and patient education, specifically by streamlining the creation of materials for caregivers, adolescents, and children facing complex medical procedures[1]. As researchers working at the intersection of healthcare and technology, we would like to offer further reflections on the study's findings, providing both constructive feedback and innovative solutions for advancing the use of AI in this field. One of the most compelling aspects of the study is the potential for ChatGPT to revolutionize patient education by significantly reducing the time and resources needed to develop educational content. The authors demonstrated that even a free version of ChatGPT allows healthcare providers to rapidly generate materials, which is particularly advantageous for overstretched healthcare systems. Additionally, the study highlights ChatGPT's ability to bridge communication gaps in resource-limited settings by providing patients and families with accessible, personalized information about transplant procedures. We strongly support the idea that AI-driven education can democratize access to essential health information, especially in regions where medical expertise is limited. Furthermore, AI's real-time response capabilities could enable healthcare providers to offer more interactive and tailored education, empowering patients to make informed decisions about their health.
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Bridging the experience gap in pediatric radiology: towards AI-assisted diagnosis for children
    Elanchezhian Somasundaram
    Arthur B. Meyers
    Pediatric Radiology, 2023, 53 : 2398 - 2399
  • [22] INTERDISCIPLINARY AND PARTICIPATORY RESEARCH IN THE DEVELOPMENT OF AI-ASSISTED SOLUTIONS FOR INDIVIDUALS WITH INTELLECTUAL DISABILITIES
    Wang, H. -T.
    Lin, F. Y.
    Liang, J. -C.
    Wang, J. -Y.
    Wang, K. -Y.
    JOURNAL OF INTELLECTUAL DISABILITY RESEARCH, 2024, 68 (07) : 853 - 854
  • [23] ENABLING TRUSTWORTHINESS IN SUSTAINABLE ENERGY INFRASTRUCTURE THROUGH BLOCKCHAIN AND AI-ASSISTED SOLUTIONS
    Otoum, Safa
    Mouftah, Hussein T.
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (06) : 19 - 25
  • [24] Evolving Pedagogy in Digital Signal Processing Education: AI-Assisted Review and Analysis
    Bordallo Lopez, Miguel
    IEEE ACCESS, 2025, 13 : 45559 - 45567
  • [25] AI-assisted Learning with ChatGPT and Large Language Models: Implications for Higher Education
    Laato, Samuli
    Morschheuser, Benedikt
    Hamari, Juho
    Bjorne, Jari
    2023 IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, ICALT, 2023, : 226 - 230
  • [26] AI-assisted diplomatic decision-making during crises-Challenges and opportunities
    Pokhriyal, Neeti
    Koebe, Till
    FRONTIERS IN BIG DATA, 2023, 6
  • [27] The ethics of AI-assisted warfighter enhancement research and experimentation: Historical perspectives and ethical challenges
    Moreno, Jonathan
    Gross, Michael L.
    Becker, Jack
    Hereth, Blake
    Shortland, Neil D.
    Evans, Nicholas G.
    FRONTIERS IN BIG DATA, 2022, 5
  • [28] Digital Transition Framework for Higher Education in AI-Assisted Engineering TeachingChallenge, Strategy, and Initiatives in ChinaDigital Transition Framework for Higher Education in AI-Assisted Engineering TeachingY. Zhang et al.
    Yin Zhang
    Menglong Zhang
    Liming Wu
    Jin Li
    Science & Education, 2025, 34 (2) : 933 - 954
  • [29] AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities
    Al-Turjman, Fadi
    Mobile Networks and Applications, 2022, 27 (02) : 806 - 807
  • [30] AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities
    Al-Turjman, Fadi
    MOBILE NETWORKS & APPLICATIONS, 2022, 27 (02): : 806 - 807